File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Monochrome image representation and segmentation based on the pseudo-color and PCT transformations

TitleMonochrome image representation and segmentation based on the pseudo-color and PCT transformations
Authors
KeywordsColor Model
Fuzzy C-Means
Pct
Pseudo-Color Transformation
Segmentation
Issue Date2001
Citation
Annual Reports Of The Research Reactor Institute, Kyoto University, 2001, v. 3, p. 2696-2699 How to Cite?
AbstractMonochrome image representation and segmentation based on the pseudo-color transformation and principal components transform (PCT) are presented in this paper. The HLS family of color models is employed to map a monochrome image into a new multidimensional color space where image features are enhanced by color representation. An optimal decomposition is then applied using the PCT transformation of the color space, in which image features are better defined and the automatic image segmentation is easily performed using the PCT-guided median splitting. Attempts are also made to compare the proposed segmentation with the fuzzy c-means (FCM) clustering in terms of the quality and computational complexity involved in segmentation. Results from mammograph and MRI image representation and segmentation are presented.
Persistent Identifierhttp://hdl.handle.net/10722/158326
ISSN

 

DC FieldValueLanguage
dc.contributor.authorTang, Hen_US
dc.contributor.authorWu, EXen_US
dc.contributor.authorGallagher, Den_US
dc.contributor.authorHeymsfield, SBen_US
dc.date.accessioned2012-08-08T08:59:05Z-
dc.date.available2012-08-08T08:59:05Z-
dc.date.issued2001en_US
dc.identifier.citationAnnual Reports Of The Research Reactor Institute, Kyoto University, 2001, v. 3, p. 2696-2699en_US
dc.identifier.issn0454-9244en_US
dc.identifier.urihttp://hdl.handle.net/10722/158326-
dc.description.abstractMonochrome image representation and segmentation based on the pseudo-color transformation and principal components transform (PCT) are presented in this paper. The HLS family of color models is employed to map a monochrome image into a new multidimensional color space where image features are enhanced by color representation. An optimal decomposition is then applied using the PCT transformation of the color space, in which image features are better defined and the automatic image segmentation is easily performed using the PCT-guided median splitting. Attempts are also made to compare the proposed segmentation with the fuzzy c-means (FCM) clustering in terms of the quality and computational complexity involved in segmentation. Results from mammograph and MRI image representation and segmentation are presented.en_US
dc.languageengen_US
dc.relation.ispartofAnnual Reports of the Research Reactor Institute, Kyoto Universityen_US
dc.subjectColor Modelen_US
dc.subjectFuzzy C-Meansen_US
dc.subjectPcten_US
dc.subjectPseudo-Color Transformationen_US
dc.subjectSegmentationen_US
dc.titleMonochrome image representation and segmentation based on the pseudo-color and PCT transformationsen_US
dc.typeConference_Paperen_US
dc.identifier.emailWu, EX:ewu1@hkucc.hku.hken_US
dc.identifier.authorityWu, EX=rp00193en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0035781490en_US
dc.identifier.volume3en_US
dc.identifier.spage2696en_US
dc.identifier.epage2699en_US
dc.publisher.placeJapanen_US
dc.identifier.scopusauthoridTang, H=36827331000en_US
dc.identifier.scopusauthoridWu, EX=7202128034en_US
dc.identifier.scopusauthoridGallagher, D=7201610333en_US
dc.identifier.scopusauthoridHeymsfield, SB=36038154600en_US

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats